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2.
Model predictive control for adaptive digital human modeling
by Sheth, Katha Janak, M.S.  The University of Iowa. 2010: 73 pages; 1488280.
3.
Model Predictive Control for Energy Efficient Buildings
by Ma, Yudong, Ph.D.  University of California, Berkeley. 2013: 131 pages; 3593911.
4.
Predictive Validity of the Learning and Study Skills Inventory on Developmental Community College Student Success
by Hanlon O'Connell, Kathleen A., Ed.D.  Northcentral University. 2014: 157 pages; 3630418.
5.
A Model Predictive Control Approach to Economic Scheduling for a Building Microgrid
by Sanchez, Edward, M.S.  California State University, Long Beach. 2018: 106 pages; 10784182.
6.
Integrated process design, planning, and stochastic-system optimization
by Elsafadi, Osama Ahmed, D.E.  Southern Methodist University. 2009: 196 pages; 3366146.
7.
Dynamic Gaussian Process Models for Model Predictive Control of Vehicle Roll
by Broderick, David J., Ph.D.  Auburn University. 2012: 121 pages; 3520452.
8.
Multiperiod Optimization Models in Operations Management
by Li, Kevin Bozhe, Ph.D.  University of California, Berkeley. 2018: 103 pages; 13423656.
9.
Warranty inventory management and supplier decision models
by Khawam, John Habeb, Ph.D.  Stanford University. 2009: 125 pages; 3382944.
11.
Optimization and analysis of a CFJ-airfoil using adaptive meta-model based design optimization
by Whitlock, Michael D., M.S.  California State University, Long Beach. 2015: 82 pages; 1598660.
12.
Blood Glucose Management Streptozotocin-Induced Diabetic Rats by Artificial Neural Network Based Model Predictive Control
by Bahremand, Saeid, M.S.  Southern Illinois University at Edwardsville. 2016: 92 pages; 10249804.
13.
Predictive Model: Using Text Mining for Determining Factors Leading to High-Scoring Answers in Stack Overflow
by Quintana Selleras, Raul, D.Engr.  The George Washington University. 2020: 152 pages; 27544783.
14.
Simulation of Model Predictive Control using Dynamic Matrix Control algorithm
by Shah, Nirali, M.S.  California State University, Long Beach. 2015: 78 pages; 1604872.
16.
Quadratic and linear optimization with analog circuits
by Vichik, Sergey, Ph.D.  University of California, Berkeley. 2015: 135 pages; 10086165.
17.
An Optimization Model for the World Food Programme's "Protracted Relief and Recovery Operations" in Chad
by Bisen, Trapti, M.S.  University of Missouri - Columbia. 2018: 69 pages; 13849388.
18.
Remote Heart Monitoring: A Predictive Modeling Approach for Biomedical Signal Processing
by Chen, Jiaming, M.S.  Northern Arizona University. 2018: 87 pages; 10846864.
19.
Enhanced Machine Learning Engine Engineering Using Innovative Blending, Tuning, and Feature Optimization
by Uddin, Muhammad Fahim, Ph.D.  University of Bridgeport. 2018: 192 pages; 13427950.
20.
Simulation-based methods for stochastic control and global optimization
by Wang, Yongqiang, Ph.D.  University of Maryland, College Park. 2011: 195 pages; 3478991.
21.
Dynamic Facility Relocation and Inventory Management for Disaster Relief
by Richter, Amber Rae, Ph.D.  University of California, Berkeley. 2016: 100 pages; 10150786.
22.
Predictive modeling of fuel efficiency of trucks
by Bindingnolle Narasimha, Srivatsa, M.S.  State University of New York at Binghamton. 2015: 91 pages; 10092244.
23.
Constructing a creative self-efficacy inventory: A mixed methods inquiry
by Abbott, Daniel H., Ph.D.  The University of Nebraska - Lincoln. 2010: 282 pages; 3402936.
24.
25.
Drilling Hydraulics Optimization Using Neural Networks
by Wang, Yanfang, M.S.  University of Louisiana at Lafayette. 2014: 73 pages; 1592757.
27.
Investigating select inventory issues and market performance of manufacturing firms
by Jhang, Shih Sian, Ph.D.  State University of New York at Buffalo. 2016: 209 pages; 10163804.
28.
A Study of Two Special Inventory Management Problems
by Li, Linda, Ph.D.  The University of Alabama. 2016: 87 pages; 10192351.
29.
Analytical techniques for the improvement of mass spectrometry protein profiling
by Pelikan, Richard Craig, Ph.D.  University of Pittsburgh. 2011: 251 pages; 3472018.
30.
Student Sequence Model: A Temporal Model For Exploring and Predicting Risk From Heterogeneous Student Data
by Mahzoon, Mohammad Javad, Ph.D.  The University of North Carolina at Charlotte. 2018: 122 pages; 10791643.
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